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Record W2049503050 · doi:10.1097/prs.0000000000000092

Evidence-Based Medicine

2014· review· en· W2049503050 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2014
Typereview
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCarpal tunnel syndromeBest evidenceSedationMedicineScientific evidenceCertificationEvidence-based medicineBest practicePhysical therapyTourniquetIntensive care medicinePsychologySurgeryAlternative medicinePolitical science

Abstract

fetched live from OpenAlex

LEARNING OBJECTIVES: After studying this article, the participant should be able to: (1) Describe and apply the best current high-level evidence in carpal tunnel syndrome. (2) Design a treatment plan to offer tourniquet-free, sedation-free local anesthesia for patients who wish it or who are at high risk with sedation. (3) Describe the evidence and outcomes as they relate to splinting carpal tunnel patients after surgery. SUMMARY: This is the third Maintenance of Certification article on carpal tunnel syndrome. Hentz and Lalonde summarized the best literature in 2008 in the first article. The second article, by Shores and Lee, presented the best evidence regarding assessment, surgical treatment, and outcomes from the literature published between 1999 and 2009. In this article, the author has concentrated on topics not covered in depth in the first two articles and provides an update of the highest level evidence on important topics from 2009 to 2013. Although there is some Level IV and V evidence cited in this article, most is Level I, II, and III.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.119
GPT teacher head0.344
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it